Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Include Sparsity in Size Calculation #463

Merged
merged 6 commits into from
Feb 22, 2024
Merged

Include Sparsity in Size Calculation #463

merged 6 commits into from
Feb 22, 2024

Conversation

Satrat
Copy link
Contributor

@Satrat Satrat commented Feb 21, 2024

IMPORTANT: merge #462 first, the quantization fix is also needed for the size calculation to be correct

Asana ticket: https://app.asana.com/0/1206109050183159/1206630352611634/f

Before

Size calculation was: total_params * (8 * quant_percent + 32 * (1 - quant_percent)

After

Size calculation is: total_params * (1 - sparsity_percent) * (8 * quant_percent + 32 * (1 - quant_percent)

Testing

from sparsezoo.analyze_v2 import analyze

MODEL_PATH = "zoo:codellama-7b-evolcodealpaca_codellama_pretrain-pruned60_quantized"
analysis = analyze(MODEL_PATH)
print(analysis)

Output:

Params:
	total 	        : 6738149376
	sparsity%	: 57.53771573852388
	size [bits]	: 24257284280.0
	quantized %	: 97.99253034547152
  • expected_size = 6738149376 * ( 1 - 0.5753771573852388) * (8 * 0.9799253034547152 + 32 * (1 - 0.9799253034547152)) = 24267869036.34734
  • reported_size = 24257284280.0
  • expected_size / reported_size = 1.000436353724727

@Satrat Satrat requested review from horheynm, rahul-tuli, bfineran and anmarques and removed request for horheynm February 21, 2024 21:46
bfineran
bfineran previously approved these changes Feb 21, 2024
Copy link
Contributor

@bfineran bfineran left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

LGTM - nice. Only taking the last commit into account

rahul-tuli
rahul-tuli previously approved these changes Feb 21, 2024
@Satrat Satrat dismissed stale reviews from rahul-tuli and bfineran via 3c04596 February 22, 2024 14:23
@Satrat Satrat merged commit a00ca1e into main Feb 22, 2024
4 checks passed
@Satrat Satrat deleted the fix_size_calcuation branch February 22, 2024 14:57
Satrat added a commit that referenced this pull request Feb 22, 2024
* initial fix

* style

* incorporate sparsity into size calculation

* quality
Satrat added a commit that referenced this pull request Feb 22, 2024
* `RegistryMixin` improved alias management (#404)

* initial commit

* add docstrings

* simplify

* hardening

* refactor

* format registry lookup strings to be lowercases

* standardise aliases

* Move evaluator registry (#411)

* More control over external data size (#412)

* When splitting external data, avoid renaming `model.data` to `model.data.1` if only one external data file gets eventually saved (#414)

* [model.download] fix function returning nothing (#420)

* [BugFix] Path not expanded (#418)

* [Fix] Allow for processing Path in the sparsezoo analysis (#417)

* Raise TypeError instead of ValueError (#426)

* Fix misleading docstring (#416)

Add test

* add support for benchmark.yaml (#415)

* add support for benchmark.yaml

recent zoo models use `benchmark.yaml` instead of `benchmarks.yaml`. adding this additional pathway so `benchmark.yaml` is downloaded in the bulk model download

* update files filter

* fix tests

---------

Co-authored-by: dbogunowicz <damian@neuralmagic.com>

* [BugFix] Add analyze to init (#421)

* Add analyze to init

* Move onnxruntime to deps

* Print model analysis (#423)

* [model.download] fix function returning nothing (#420)

* [BugFix] Path not expanded (#418)

* print model-analysis

* [Fix] Allow for processing Path in the sparsezoo analysis (#417)

* add print statement at the end of cli run

---------

Co-authored-by: Dipika Sikka <dipikasikka1@gmail.com>
Co-authored-by: Rahul Tuli <rahul@neuralmagic.com>
Co-authored-by: dbogunowicz <97082108+dbogunowicz@users.noreply.github.com>

* Omit scalar weight (#424)

* ommit scalar weights:

* remove unwanted files

* comment

* Update src/sparsezoo/utils/onnx/analysis.py

Co-authored-by: Benjamin Fineran <bfineran@users.noreply.github.com>

---------

Co-authored-by: Benjamin Fineran <bfineran@users.noreply.github.com>

---------

Co-authored-by: George <george@neuralmagic.com>
Co-authored-by: Dipika Sikka <dipikasikka1@gmail.com>
Co-authored-by: dbogunowicz <97082108+dbogunowicz@users.noreply.github.com>
Co-authored-by: Benjamin Fineran <bfineran@users.noreply.github.com>

* update analyze help message for correctness (#432)

* initial commit (#430)

* [sparsezoo.analyze] Fix pathway such that it works for larger models (#437)

* fix analyze to work with larger models

* update for failing tests; add comments

* Update src/sparsezoo/utils/onnx/external_data.py

Co-authored-by: dbogunowicz <97082108+dbogunowicz@users.noreply.github.com>

---------

Co-authored-by: Dipika Sikka <dipikasikka1@gmail.coom>
Co-authored-by: dbogunowicz <97082108+dbogunowicz@users.noreply.github.com>

* Delete hehe.py (#439)

* Download deployment dir for llms (#435)

* Download deployment dir for llms

* Use path instead of download

* only set save_as_external_data to true if the model originally had external data (#442)

* Add Channel Wise Quantization Support (#441)

* Chunk download (#429)

* chunk download, break down into 10

* lint

* threads download

* draft

* chunk download draft

* job based download and combining/deleteing chunks

* delete old code

* lint

* fix num jobs if file_size is less than the chunk size

* doc string and return types

* test

* lint

* fix type hints (#445)

* fix bug if the value is a dict (#447)

* [deepsparse.analyze] Fix v1 functionality to  work with llms (#451)

* fix equivalent changes made to analyze_v2 such that inference session works for llms; update wanrings to be debug printouts

* typo

* overwrite file (#450)

Co-authored-by: 21 <a21@21s-MacBook-Pro.local>

* Adds a `numpy_array_representer` to yaml (#454)

on runtime, to avoid serialization issues

* Avoid division by zero (#457)

Avoid log of zero

* op analysis total counts had double sparse counts (#461)

* Rename legacy analyze to analyze_v1 (#459)

* Fixing Quant % Calcuation (#462)

* initial fix

* style

* Include Sparsity in Size Calculation (#463)

* initial fix

* style

* incorporate sparsity into size calculation

* quality

* op analysis total counts had double sparse counts (#461)

* Fixing Quant % Calcuation (#462)

* initial fix

* style

* Include Sparsity in Size Calculation (#463)

* initial fix

* style

* incorporate sparsity into size calculation

* quality

* Revert "Merge branch 'main' into analyze_cherry_picks"

This reverts commit 509fa1a, reversing
changes made to 08f94c4.

---------

Co-authored-by: dbogunowicz <97082108+dbogunowicz@users.noreply.github.com>
Co-authored-by: Rahul Tuli <rahul@neuralmagic.com>
Co-authored-by: Dipika Sikka <dipikasikka1@gmail.com>
Co-authored-by: Benjamin Fineran <bfineran@users.noreply.github.com>
Co-authored-by: dbogunowicz <damian@neuralmagic.com>
Co-authored-by: George <george@neuralmagic.com>
Co-authored-by: Dipika Sikka <dipikasikka1@gmail.coom>
Co-authored-by: 21 <a21@21s-MacBook-Pro.local>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants